Genetic Programming
Springer International Publishing (Verlag)
978-3-319-16500-4 (ISBN)
The Effect of Distinct Geometric Semantic Crossover Operators in Regression Problems.- Learning Text Patterns Using Separate-and-Conquer Genetic Programming.- Improving Geometric Semantic Genetic Programming with Safe Tree Initialisation.- Grant Dick On the Generalization Ability of Geometric Semantic Genetic Programming.-Automatic Derivation of Search Objectives for Test-Based Genetic Programming.- Evolutionary Design of Transistor Level Digital Circuits Using Discrete Simulation.- M3GP - Multiclass Classification with GP.- Evolving Ensembles of Dispatching Rules Using Genetic Programming for Job Shop Scheduling.- Attributed Grammatical Evolution Using Shared Memory Spaces and Dynamically Typed Semantic Function Specification.- Indirectly Encoded Fitness Predictors Coevolved with Cartesian Programs.- Tapped Delay Lines for GP Streaming Data Classification with Label Budgets.- Cartesian GP in Optimization of Combinational Circuits with Hundreds of Inputs and Thousands of Gates.- Genetic Programming for Feature Selection and Question-Answer Ranking in IBM Watson.- Automatic Evolution of Parallel Recursive Programs.- Proposal and Preliminary Investigation of a Fitness Function for Partial Differential Models.- Evolutionary Methods for the Construction of CryptographicBoolean Functions.- TEMPLAR - A Framework for Template-Method Hyper-Heuristics.- Circuit Approximation Using Single- and Multi-objective Cartesian GP.
Erscheint lt. Verlag | 26.3.2015 |
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Reihe/Serie | Lecture Notes in Computer Science | Theoretical Computer Science and General Issues |
Zusatzinfo | XII, 231 p. 56 illus. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 379 g |
Themenwelt | Informatik ► Theorie / Studium ► Algorithmen |
Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
Schlagworte | Algorithm analysis and problem complexity • Applications • Artificial Intelligence • Automatic Programming • Cartesian genetic programming • Circuit Design • Computer Science • conference proceedings • evolutionary computation • genetic programming • Grammatical methods • Heuristic Methods • Informatics • numerical modeling • Optimization • Research • Scheduling • Search Methods |
ISBN-10 | 3-319-16500-3 / 3319165003 |
ISBN-13 | 978-3-319-16500-4 / 9783319165004 |
Zustand | Neuware |
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